Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record

@article{Hu2013ClassificationOM,
  title={Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record},
  author={Bing Hu and Yanping Chen and Jesin Zakaria and Liudmila Ulanova and Eamonn J. Keogh},
  journal={2013 IEEE 13th International Conference on Data Mining},
  year={2013},
  pages={281-290}
}
Extensive research on time series classification in the last decade has produced fast and accurate algorithms for the single-dimensional case. However, the increasing prevalence of inexpensive sensors has reinforced the need for algorithms to handle multi-dimensional time series. For example, modern smartphones have at least a dozen sensors capable of producing streaming time series, and hospital-based (and increasingly, home-based) medical devices can produce time series streams from more than… CONTINUE READING
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